Controlling surface statistical properties using bias voltage: Atomic force microscopy and stochastic analysis
Data Analysis, Statistics and Probability
2015-05-13 v1
Abstract
The effect of bias voltages on the statistical properties of rough surfaces has been studied using atomic force microscopy technique and its stochastic analysis. We have characterized the complexity of the height fluctuation of a rough surface by the stochastic parameters such as roughness exponent, level crossing, and drift and diffusion coefficients as a function of the applied bias voltage. It is shown that these statistical as well as microstructural parameters can also explain the macroscopic property of a surface. Furthermore, the tip convolution effect on the stochastic parameters has been examined.
Cite
@article{arxiv.0704.1029,
title = {Controlling surface statistical properties using bias voltage: Atomic force microscopy and stochastic analysis},
author = {P. Sangpour and G. R. Jafari and O. Akhavan and A. Z. Moshfegh and M. Reza Rahimi Tabar},
journal= {arXiv preprint arXiv:0704.1029},
year = {2015}
}
Comments
8 pages, 11 figures;